GPI: GenAI-Powered Inference Logo

Getting Started

  • Installation
    • From PyPI
    • From Source
  • What’s GPI?
    • Generative-AI Powered Inference
    • Contribute to GPI
  • How to use GPU
    • What’s GPU?
    • What if you do not have GPU?
    • Google Colaboratory

Data Generation

  • Generating Texts with LLaMa3
    • How to use LLaMa3
    • Creating Texts
    • Repeating Texts
    • Arguments
    • System Prompt
  • Generating Texts with Other LLMs
    • Example: Gemma2
  • Generating Texts without GPU
    • NNsight for GPI

Basic Operation

  • Text-As-Treatment
    • What is Text-As-Treatment?
    • How to estimate treatment effects
      • Step 1: Load the Internal Representations
      • Step 2: Estimate the Treatment Effects
    • How to control confounders
      • Method 1: Using a Formula with a DataFrame
      • Method 2: Using a Design Matrix
    • Visualizing Propensity Scores
    • Hyperparameters

Advanced Operations

  • Hyperparameter Tuning
    • Automated Hyperparameter Tuning
    • List of Hyperparameters
  • Customizing Your Analysis
    • TarNet
    • Propensity Score Model
    • Estimation Workflow
  • When LLM is too big
    • Model Quantization

References

  • dml_score
    • Description
    • Arguments
    • Returns
    • Example Usage
  • estimate_k_ate
    • Description
    • Arguments
    • Returns
    • Example Usage
  • estimate_psi_split
    • Description
    • Arguments
    • Returns
    • Example Usage
  • extract_and_save_hiddens
    • Description
    • Arguments
    • Returns
    • Example Usage
  • generate_text
    • Description
    • Arguments
    • Returns
    • Example Usage
  • get_instruction
    • Description
    • Arguments
    • Returns
    • Example Usage
  • load_hiddens
    • Description
    • Arguments
    • Returns
    • Example Usage
  • save_generated_texts
    • Description
    • Arguments
    • Returns
    • Example Usage
  • SpectralNormClassifier
    • Description
    • Parameters
    • Example Usage
    • Methods
      • fit
      • predict_proba
      • predict
  • TarNet_loss
    • Description
    • Arguments
    • Returns
    • Example Usage
  • TarNet
    • Description
    • Parameters
    • Example Usage
    • Methods
      • fit
      • predict
  • TarNetBase
    • Description
    • Parameters
    • Example Usage
    • Arguments:
  • TarNetHyperparameterTuner
    • Description
    • Arguments
    • Example Usage
GPI: GenAI-Powered Inference
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© Copyright 2025, Kentaro Nakamura, Kosuke Imai.

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